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@@ -30,7 +30,7 @@ We introduce this model as part of our work: [SWE-smith: Scaling Data for Softwa
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  SWE-agent-LM-32B is 100% open source.
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  Training this model was simple - we fine-tuned Qwen 2.5 Coder Instruct on 5k trajectories generated by SWE-agent + Claude 3.7 Sonnet.
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- The dataset can be found [here](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajs-250429).
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  SWE-agent-LM-32B is compatible with [SWE-agent](https://github.com/SWE-agent/SWE-agent).
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  Running this model locally only takes a few steps!
 
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  SWE-agent-LM-32B is 100% open source.
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  Training this model was simple - we fine-tuned Qwen 2.5 Coder Instruct on 5k trajectories generated by SWE-agent + Claude 3.7 Sonnet.
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+ The dataset can be found [here](https://huggingface.co/datasets/SWE-bench/SWE-smith-trajectories).
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  SWE-agent-LM-32B is compatible with [SWE-agent](https://github.com/SWE-agent/SWE-agent).
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  Running this model locally only takes a few steps!